In this paper, we propose a kind of mobile learning paradigm learning by seamless migration, which has the capability that task for learning dynamically follows the learner from place to place and machine to machine without learner awareness or intervention. Our key idea is this capability can be achieved by architecture of component platform and agent-based migrating mechanism. In order to stu...

Supervised morphological paradigm learning by identifying and aligning the longest common subsequence found in inflection tables has recently been proposed as a simple yet competitive way to induce morphological patterns. We combine this non-probabilistic strategy of inflection table generalization with a discriminative classifier to permit the reconstruction of complete inflection tables of un...

Based on the analysis of multi-paradigm software development and the concept of paradigm, a new method of multi-paradigm design with feature modeling is proposed in this thesis. The method enables an explicit reasoning about paradigms, viewed as solution domain concepts, and their appropriateness for given application domain concepts. Both application and solution domain are modeled using a con...

Fast expansion in ambient intelligence (AmI) has attracted different walks of people. AmI systems provide robust communication in open, dynamic and heterogeneous environments. This paper presents a AES paradigm that introduces wireless sensor networks to control remote servers or other devices at remote place through mobile phones. The main focus of paper is to consume minimum energy for obtain...

This chapter presents an introduction to graph colouring algorithms. The focus is on vertex-colouring algorithms that work for general classes of graphs with worst-case performance guarantees in a sequential model of computation. The presentation aims to demonstrate the breadth of available techniques and is organized by algorithmic paradigm.

This work aims to introduce a new concept for incorporatingjky sets in hybrid deliberative/ieactive paradigm. AIer a brief review on bosic issues of hybrid paradigm the definition of agent-based f.l.v hybrid paradigm, which enobles the ogenis zo proceed and extract their behavior through quantitative numerical and qualitative knowledge and to impose their decision making procedure via @zy rule ...

There it no general consensus on how bett to attack evidential-reasoning (ER) problems, particularly in expert-system applications. Several approaches have evolved, but they have their roots in diverse fields, such as statistics and philosophy, and have neither a common terminology nor a common set of assumptions. The research reported here provides two useful results. First, it structures the ...